Objective: To investigate feasibility of multi-objective genetic algorithm(MOGA) for optimizing β-cyclodextrin(β-CD) inclusion process of volatile oil from Moslae Herba

thus allowing for subsequent assessment. Method: Taking ratio of β-CD to valatile oil

inclusion temperature and stirring time as factors

with oil content and yield of inclusion compound of volatile oil from Moslae Herba as indexes

β-CD inclusion process of volatile oil was optimized by SGAIAB beta 5008

a plug-in toolbox of Matlab 2009a software

optimization of genetic algorithm entailed statistical analysis by SPSS 19.0 software

whose result was compared with orthogonal test. Result: Optimum inclusion process was:ratio of β-CD to volatile oil 8: 1

inclusion temperature at 59 ℃

inclusion time of 2.8 hours.Following application of MOGA

yield and oil content of inclusion complex were 84.18% and 79.97%

respectively. Conclusion: For multiple targets to be optimized simultaneously

MOGA provides a more reasonable approach for optimizing condition of β-CD inclusion process of volatile oil from Moslae Herba compared with Pareto non-inferior solution and can provide some theoretical basis for preparation of Chinese patent medicines containing Moslae Herba.